Description: 包含两个文件KMEAN.h,KMEAN.CPP,使用方法非常简单，将数据存成.dat文件，即可对其进行Ｋ均值聚类-Consists of two documents KMEAN.h, KMEAN.CPP, very simple to use, the data saved as. Dat file can be K-means clustering Platform: |
Size: 2048 |
Author:XSSun |
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Description: 基于粗糙熵和K-均值聚类算法的图像分割 基于粗糙熵和K-均值聚类算法的图像分割-Based on Rough Entropy and K-means clustering algorithm for image segmentation based on rough entropy and K-means clustering algorithm for image segmentation Platform: |
Size: 257024 |
Author:张三 |
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Description: 经典的划分聚类算法Kmeans。包能能用，而且提供数据。在linux下和windows下都测试过。-Classical clustering algorithm divided Kmeans. Package can use, and provide data. Under linux and windows in both tested. Platform: |
Size: 14336 |
Author:肖宪 |
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Description: 经过本人修改成类模式后的Kmeans聚类算法，对类成员有详细注释。-After I type model modified after Kmeans clustering algorithm, the class members have detailed notes. Platform: |
Size: 10240 |
Author:阿姆罗 |
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Description: KMEANS聚类算法实现程序，程序分为两个部分，包括数据和KMEANS聚类算法实现程序，并有详细的注释．-Clustering algorithm KMEANS realize procedure, the procedure is divided into two parts, including the data and clustering algorithm KMEANS realize procedure, and detailed notes. Platform: |
Size: 3072 |
Author:liyan |
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Description: kmeans分类的小程序，聚类算法，大家都来看看吧，-kmeans classification of small procedures, clustering algorithm, as we all look at and see, Platform: |
Size: 1024 |
Author:chenweijiang |
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Description: KMeans聚类 (KMeans clustering)With the given cluster number, find the best initial state via running
multiple kmean algorithms.-(KMeans clustering)With the given cluster number, find the best initial state via running
multiple kmean algorithms. Platform: |
Size: 61440 |
Author:boliwang |
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Description: K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm Platform: |
Size: 46080 |
Author:renli |
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Description: 彩色图像分割，灰常不错。This function implements kmeans clustering on an input RGB (m x n x 3)
image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this
function will step through an interactive color segmentation using kmeans clustering. It is interactive in that the user will be prompted to click-define the target colors in the segmentation.-This function implements kmeans clustering on an input RGB (m x n x 3)
image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this
function will step through an interactive color segmentation using kmeans clustering. It is interactive in that the user will be prompted to click-define the target colors in the segmentation. Platform: |
Size: 9216 |
Author:zhuweina |
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Description: 传统的kmeans聚类算法不能保证时间序列聚类结果的时序性；基于warp-kmeans聚类算法可以有效处理时间序列的聚类问题，而且复杂度低，迭代次数少。
，输出有目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据和相关文献，点击 test.m 可以完美运行(The traditional kmeans clustering algorithm can not guarantee the time series of the time series clustering results. The warp-kmeans clustering algorithm can effectively deal with the clustering problem of time series, and the complexity is low, and the number of iterations is less.
The output has the value of the target function after each iteration, the clustering center and the clustering interval. There are test data and related documents, click test.m can be perfect operation.) Platform: |
Size: 869376 |
Author:Galsang
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